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   "source": [
    "# Imports\n",
    "import openai\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "from openai import OpenAI\n",
    "from IPython.display import Markdown, display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1aa8dd82-6b5e-4dbd-a2ee-8367e796a51f",
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   "source": [
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "\n",
    "# Check the key\n",
    "\n",
    "if not api_key:\n",
    "    print(\"No API key was found - head over to the troubleshooting notebook!\")\n",
    "elif not api_key.startswith(\"sk-proj-\"):\n",
    "    print(\"An API key was found, but it doesn't start sk-proj... make sure you using the right key (Check troubleshooting notebook)\")\n",
    "elif api_key.strip() != api_key:\n",
    "    print(\"An API key was found, but it looks like white space was found in beginning or end. (Check troubleshooting notebook)\")\n",
    "else:\n",
    "    print(\"API key found and looks good so far!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2acd579b-846c-4aa6-ba6c-1cc1a5a2eeb6",
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   "source": [
    "# Input the system prompt\n",
    "system_prompt = \"\"\"you are top notched AI music expert that have knowledge of all genres, songs, and artists. You need to google search lyrics. You have the following rules:\\\n",
    "1. Carefully break down what type of recommendation the user wants and the context.\\\n",
    "2. If asked to recommend genres similar to a song or artists please identify the top 3 genres.\\\n",
    "3. If asked to recommend artists from songs or genres then recommend the top 5 artists.\n",
    "4. If asked to recommend songs from genres or artist than recommend the top 10 songs.\n",
    "5. If asked for a general recommendation give them the top 5 songs based off of context.\\\n",
    "6. Be flexible and adaptable with recommendations and consider the context the user might ask.\n",
    "7. always respond in markdown.\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c1cf212-538c-4e9a-8da5-337bd7b6197c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# music recommender function\n",
    "def music_recommender(user_prompt):\n",
    "    messages = [\n",
    "        {\"role\": \"system\", \"content\": system_prompt},\n",
    "        {\"role\": \"user\", \"content\": user_prompt}\n",
    "    ]\n",
    "    \n",
    "    response = openai.chat.completions.create(\n",
    "        model=\"gpt-4\",\n",
    "        messages=messages,\n",
    "        max_tokens=300\n",
    "    )\n",
    "    \n",
    "    return response.choices[0].message.content"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "4f277561-af8b-4715-90e7-6ebaadeb15d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# User prompt (Change this to fit your needs!)\n",
    "user_prompt = \"Can you recommend me songs from Taylor Swift\"\n",
    "\n",
    "# Example usage\n",
    "response = music_recommender(user_prompt)\n",
    "display(Markdown(response))"
   ]
  },
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